Lead Azure Fabric Data Engineer

TEKsystems•Baltimore, MD

1d•$127,100 - $190,700•Remote

About The Position

We are seeking a highly skilled Lead Data Engineer with strong expertise in Microsoft Fabric and Azure analytics ecosystem to design and deliver modern, scalable data platforms. The ideal candidate should be a good team player with 8 or more years of experience in data engineering with Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Power BI), and preferably some experience with Azure AI/ML services. This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native analytics solutions, mentoring engineering teams, and close collaboration with architects, AI Engineers, Data Scientists, and business stakeholders to deliver impactful, data-driven solutions. This position will require up to 50% travel to customer sites as per project need.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8 or more years of experience in Data Engineering, with at least 3 or more years in Azure ecosystem
Strong hands-on expertise in Microsoft Fabric, including: OneLake & Lakehouse architecture, Data Factory in Fabric, Synapse Data Engineering / Data Warehousing, Power BI integration with Fabric
Proficiency in Python, PySpark, SQL, and Spark-based processing
Strong experience building data pipelines (batch and streaming)
Expertise in data modeling (star/snowflake schemas, medallion architecture)
Experience with Azure data services: Azure Data Factory / Synapse Pipelines, ADLS Gen2, Azure SQL / SQL MI
Experience in CI/CD, version control, and DevOps practices
Strong understanding of data governance, security, and access control (RBAC, IAM, encryption)
Experience working with structured, semi-structured, and unstructured data sources
Strong problem-solving, communication, and stakeholder management skills
Excellent verbal and written communication skills.
Ability to work cross-functionally with product managers, business stakeholders, and engineering teams
Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies

Nice To Haves

Microsoft certifications such as: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Azure AI Engineer Associate, Azure Solutions Architect Expert
Experience with Databricks or Synapse Spark pools
Familiarity with real-time analytics and streaming architecture
Exposure to data governance tools (Purview or equivalent)
Experience in building enterprise-scale data platforms

Responsibilities

Actively involved in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders
Actively participates in architectural discussions independently or under guidance/supervision from Practice Architect to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy
Design and implement modern data platform architectures using Microsoft Fabric, including: OneLake-based data Lakehouse architectures, Data Factory pipelines within Fabric, Synapse Data Engineering and Data Warehousing experiences
Develop scalable data ingestion, transformation, and orchestration pipelines using Fabric-native tools and Azure services
Design high-performance Lakehouse and Warehouse models following best practices (medallion architecture, dimensional modeling)
Integrate Azure services such as Azure Data Factory, ADLS Gen2, Azure SQL, Databricks (optional)
Build interactive and scalable Power BI semantic models and reports integrated with Fabric
Implement CI/CD pipelines (Azure DevOps/GitHub) for data and analytics workloads
Ensure adherence to data governance, security, and compliance standards
Mentor and guide junior engineers, drive best practices, and lead POD delivery
Contribute to solution accelerators, reusable frameworks, and pre-sales activities
Create prototypes and evaluate emerging tools and methodologies to drive innovation within the team
Occasional support to Sales and Pre-Sales partners to convert opportunity to revenue through thought leadership in the designated area of expertise
Lead POD/team delivery and ensure high-quality, timely execution
Mentor junior engineers and conduct knowledge-sharing sessions
Participate in Agile ceremonies (planning, retrospectives, backlog grooming)
Function as a technical point of contact for stakeholders and clients